The Theory and Practice of Enterprise AI : Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Ilya Katsov
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Recommender Systems : The Textbook
Charu C. Aggarwal
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The Data Science Design Manual
Professor Steven S. Skiena
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Bandit Algorithms
Tor (University of Alberta) Lattimore
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Outlier Analysis
Charu C. Aggarwal
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Robot Ethics 2.0 : From Autonomous Cars to Artificial Intelligence
Patrick Lin
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The Science of Deep Learning
Iddo Drori
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Topological Data Analysis with Applications
Gunnar (Stanford University, California) Carlsson
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Machine Learning in Asset Pricing
Stefan Nagel
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Bayesian Optimization
Roman (Washington University in St Louis) Garnett
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Blockchain in Healthcare : Innovations that Empower Patients, Connect Professionals and Improve Care
Vikram Dhillon
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Foundations of Robotics : A Multidisciplinary Approach with Python and ROS
Damith Herath
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AI Ethics : A Textbook
Paula Boddington
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High Performance Big Data Computing
Dhabaleswar K. Panda
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Control Systems and Reinforcement Learning
Sean (University of Florida) Meyn
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A Hands-On Introduction to Machine Learning
Chirag (University of Washington) Shah
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Medical Robotics
Achim Schweikard
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Machine Learning
Zhi-Hua, PhD Zhou
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Understanding and Changing the World : From Information to Knowledge and Intelligence
Joseph Sifakis
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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Guide to Software Development : Designing and Managing the Life Cycle
Arthur M. Langer
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Machine Learning with Neural Networks : An Introduction for Scientists and Engineers
Bernhard (Goeteborgs Universitet, Sweden) Mehlig
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Format: Book (Hardback)
